This textbook covers the entire Business Process Management (BPM) lifecycle, from process identification to process monitoring, covering along the way process modelling, analysis, redesign and automation. Concepts, methods and tools from business management, computer science and industrial engineering are blended into one comprehensive and inter-disciplinary approach. The presentation is illustrated using the BPMN industry standard defined by the Object Management Group and widely endorsed by practitioners and vendors worldwide. In addition to explaining the relevant conceptual background, the book provides dozens of examples, more than 230 exercises many with solutions and numerous suggestions for further reading. This second edition includes extended and completely revised chapters on process identification, process discovery, qualitative process analysis, process redesign, process automation and process monitoring. A new chapter on BPM as an enterprise capability has been added, which expands the scope of the book to encompass topics such as the strategic alignment and governance of BPM initiatives. The textbook is the result of many years of combined teaching experience of the authors, both at the undergraduate and graduate levels as well as in the context of professional training. Students and professionals from both business management and computer science will benefit from the step-by-step style of the textbook and its focus on fundamental concepts and proven methods. Lecturers will appreciate the class-tested format and the additional teaching material available on the accompanying website.
Cited By
- Dumas M, Fournier F, Limonad L, Marrella A, Montali M, Rehse J, Accorsi R, Calvanese D, De Giacomo G, Fahland D, Gal A, La Rosa M, Völzer H and Weber I (2023). AI-augmented Business Process Management Systems: A Research Manifesto, ACM Transactions on Management Information Systems, 14:1, (1-19), Online publication date: 31-Mar-2023.
- Mendling J, Berente N, Seidel S and Grisold T (2021). The Philosopher's Corner, ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 52:2, (127-140), Online publication date: 26-Apr-2021.
- Ouyang C, Adams M, Hofstede A and Yu Y (2021). Design and Realisation of Scalable Business Process Management Systems for Deployment in the Cloud, ACM Transactions on Management Information Systems, 12:4, (1-26), Online publication date: 31-Dec-2022.
- Majthoub M, Odeh Y and Hijjawi M Non-Functional Requirements Classification for Aligning Business with Information Systems Proceedings of the 2020 International Conference on Big Data in Management, (84-89)
- Verenich I, Dumas M, Rosa M, Maggi F and Teinemaa I (2019). Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring, ACM Transactions on Intelligent Systems and Technology, 10:4, (1-34), Online publication date: 31-Jul-2019.
- Bouaziz R, Ellouze F, Chaâbane M and Andonoff E (2017). Onto-VP2M, International Journal of e-Collaboration, 13:3, (39-62), Online publication date: 1-Jul-2017.
Index Terms
- Fundamentals of Business Process Management
Recommendations
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